Ngoc Vu‐Dac

3.4k citations
31 papers · 2.9k · h-index 21

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 12
    • Retinoids in leukemia and cellular processes 5
    • Glycosylation and Glycoproteins Research 4
    • Lipoproteins and Cardiovascular Health 5

Ngoc Vu‐Dac

31 papers receiving 2.8k citations

Peers

Ngoc Vu‐Dac
Comparison fields: 5 of 94
  • Hepatology 518
  • Endocrine and Autonomic Systems 175
  • Endocrinology, Diabetes and Metabolism 416
  • Cancer Research 302
  • Molecular Biology 1.5k
Replace Pascale Bossard with:
Pascale Bossard France
Carol A. Casey United States
Z Cao United States
Ross W. Milne Canada
Donald K. Scott United States
Kook Hwan Kim South Korea
John Li United States
Motoyuki Kohjima Japan
Shi Qi Yang United States
Jennifer Altomonte Germany
Ngoc Vu‐Dac relative to Pascale Bossard France Pascale Bossard's profile →
Citations per field
00.5×3.6×
Pascale Bossard · 1×
Citations per year

Countries citing papers authored by Ngoc Vu‐Dac

Since Specialization
Citations

This map shows the geographic impact of Ngoc Vu‐Dac's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ngoc Vu‐Dac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ngoc Vu‐Dac more than expected).

Fields of papers citing papers by Ngoc Vu‐Dac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ngoc Vu‐Dac. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ngoc Vu‐Dac. The network helps show where Ngoc Vu‐Dac may publish in the future.

Co-authors

The 25 scholars most cited alongside Ngoc Vu‐Dac, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ngoc Vu‐Dac Line = papers co-authored together Ngoc Vu‐Dac links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995355
2 1995335
3 1998261
4 1994215
5 2003206
6 2005194
7 2006177
8 2003176
9 2006143
10 2001135
11 1998114
12 1997112
13 200684
14 200675
15 200766
16 199649
17 199031
18 198828
19 199626
20 198724

About Ngoc Vu‐Dac

Ngoc Vu‐Dac is a scholar working on Molecular Biology, Surgery, Epidemiology, Hepatology and Physiology, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Hepatitis C virus research (6 papers), Retinoids in leukemia and cellular processes (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Glycosylation and Glycoproteins Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipose Tissue and Metabolism (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Hepatology (518 citations), Endocrine and Autonomic Systems (175 citations), Endocrinology, Diabetes and Metabolism (416 citations), Cancer Research (302 citations) and Molecular Biology (1.5k citations). Ngoc Vu‐Dac has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Bart Staels, Johan Auwerx, Jean‐Charles Fruchart, Jean Dallongeville, Philippe Gervois, Kristina Schoonjans, Jean Dubuisson, Cécile Voisset, V. P. Kosykh and J C Fruchart. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Clinica Chimica Acta, Atherosclerosis and Biochemical and Biophysical Research Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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